Senior AI Solutions Architect

🎯 What are we looking for in you?

✅ More than 5 years of experience as an Artificial Intelligence Solutions Architect.

✅ Experience in designing AI architectures, intelligent agents, and systems based on advanced machine learning models.

✅ Solid knowledge of Responsible AI, explainability, governance, traceability, privacy, and data security.

✅ Experience in bias evaluation, algorithmic auditing, and risk management associated with AI systems.

✅ Knowledge of AI models, machine learning, deep learning, and generative architectures.

✅ Experience with MLOps and LLMOps methodologies and tools.

✅ Experience in designing and interpreting AI architecture diagrams.

✅ Knowledge of cybersecurity and AI applications in secure environments.

English level B2 minimum.

At Indra Group, we protect what matters most.

We lead the development of cutting-edge technological solutions for strategic sectors, participating in Artificial Intelligence projects applied to mission-critical, defense, and security environments.

🤖 Join our Artificial Intelligence team!

In our positioning as a leading company in technology and defense, we want to hire a Senior Artificial Intelligence Architect.

You will be part of strategic projects related to AI architectures, intelligent agents, generative AI, and autonomous systems, defining secure, governed solutions aligned with the highest standards of quality, security, and regulatory compliance.

💡What will you do?

• Design secure, explainable, auditable, and governed AI agent architectures.
• Define responsible use controls, operational restrictions, and supervision mechanisms for intelligent systems.
• Establish criteria for traceability, governance, and lifecycle management of AI models.
• Evaluate risks, biases, ethical impacts, and regulatory compliance of AI-based solutions.
• Design training, inference, and deployment architectures for AI solutions in complex environments.
• Technically lead multidisciplinary AI teams and support their professional development.
• Drive technological innovation initiatives at different maturity levels (TRL).
• Define MLOps and LLMOps strategies to automate the training, validation, and operation of models in production.
• Prepare technical documentation, compliance evidence, recommendations, and architectural models.
• Collaborate with technical, cybersecurity, business, operations, and regulatory compliance teams.

📍 León. Hybrid model.